Current Status and Outcomes of Critical Traumatic Brain Injury (GCS = 3–5) in a Developing Country: A Retrospective, Registry‐Based Study

Borazjani, Roham; Ajdari, Mohammad Reza; Niakan, Amin; Yousefi, Omid; Amoozandeh, Arsham; Sayadi, Mehrab; Khalili, Hosseinali

doi:10.1007/s00268-022-06645-3

Cited by 6 publications

(5 citation statements)

References 46 publications

(53 reference statements)

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“…e previous surveys agreed that younger age is a prognostic factor for improved survival rate. [3] Deng et al reported a decrease in the mortality rate in younger fire-arm-related victims in the US. e mortality rate was 73.3% in patients >60 years of age and 50.2% in patients between 18 and 29.…”

Section: Discussionmentioning

confidence: 99%

“…[17] e previous studies address several prognostic factors affecting both survival rate and short-to-long-term functional outcomes. [1,3,11] Ambrosi et al reported that preoperative GCS, pupil conditions, and intracerebral hematomas are prognostic factors among patients following GSW. [2] In Austria, Marhold et al analyzed 27 patients with PTBI and concluded that initial GCS, trajectory, type of injury (low-or high-velocity), and pupil status are predictors of functional outcomes.…”

Section: Discussionmentioning

confidence: 99%

“…The previous surveys agreed that younger age is a prognostic factor for improved survival rate. [ 3 ] Deng et al . reported a decrease in the mortality rate in younger fire-arm-related victims in the US.…”

Section: Discussionmentioning

confidence: 99%

“…The previous studies address several prognostic factors affecting both survival rate and short-to-long-term functional outcomes. [ 1 , 3 , 11 ] Ambrosi et al . reported that preoperative GCS, pupil conditions, and intracerebral hematomas are prognostic factors among patients following GSW.…”

Section: Discussionmentioning

confidence: 99%

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Civilian penetrating traumatic brain injury: A 5-year single-center experience

Yousefi¹,

Azami²,

Borazjani³

et al. 2023

Surgical Neurology International

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Background: The aim of this study was to report the demographics and clinical features of patients with penetrating traumatic brain injury (PTBI) during the past 5 years in Rajaee Hospital, a tertiary referral trauma center in Shiraz, southern Iran. Methods: We conducted a 5-year retrospective evaluation of all patients diagnosed with PTBI who were referred to Rajaee Hospital. We retrieved the following items from the hospital’s database and PACS system: patients’ demographics, on-admission Glasgow Coma Scale (GCS), presence of trauma to other organs, duration of the hospital and ICU stay, the neurosurgical interventions, any necessity of tracheostomy, duration of ventilator dependency, the entrance point of the trauma in the skull, type of assault, length of trajectory in the brain parenchyma, the number of remaining objects in the brain, the occurrence of any hemorrhagic phenomenon, the cross of the bullet from the midline or coronal suture, and the presence of the pneumocephalus. Results: A total of 59 patients with a mean age of 28.75 ± 9.40 had PTBI over the 5 years. The mortality rate was 8.5%. Stab wounds, shotguns, gunshots, and airguns were the cause of injury in 33 (56%), 14 (23.7%), 10 (17%), and 2 (3.4%) patients, respectively. The median initial GCS of patients was 15 (3–15). Intracranial hemorrhage was observed in 33 cases, subdural hematoma in 18 cases, intraventricular hemorrhage in eight cases, and subarachnoid hemorrhage in four cases. The mean duration of hospitalization was 10.05 ± 10.75 (ranging from 1 to 62 days). Furthermore, 43 patients experienced ICU admission with mean days of 6.5 ± 5.62 (1–23). The temporal and frontal regions were the most common entrance points, in 23 and 19 patients, respectively. Conclusion: The incidence of PTBI is relatively low in our center, possibly due to the prohibition of possession or using warm weapons in Iran. Further, multicenter studies with larger sample sizes are needed to determine prognostic factors associated with worse clinical outcomes after PTBI.

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Section: Discussionmentioning

confidence: 99%

Section: Discussionmentioning

confidence: 99%

Section: Discussionmentioning

confidence: 99%

Section: Discussionmentioning

confidence: 99%

See 2 more Smart Citations

Civilian penetrating traumatic brain injury: A 5-year single-center experience

Yousefi¹,

Azami²,

Borazjani³

et al. 2023

Surgical Neurology International

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“…Current assessments for concussion, the most common type of TBI, rely on combining tests designed to evaluate functional domains known to be affected such as balance, memory, and cognition ( 2 ). An individual test for TBI may not be effective in diagnosing a patient if the test has not been designed to assess the specific symptoms with which the patient is presenting ( 3 ).…”

Section: Introductionmentioning

confidence: 99%

Eye tracking for classification of concussion in adults and pediatrics

et al. 2022

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IntroductionIn order to obtain FDA Marketing Authorization for aid in the diagnosis of concussion, an eye tracking study in an intended use population was conducted.MethodsPotentially concussed subjects recruited in emergency department and concussion clinic settings prospectively underwent eye tracking and a subset of the Sport Concussion Assessment Tool 3 at 6 sites. The results of an eye tracking-based classifier model were then validated against a pre-specified algorithm with a cutoff for concussed vs. non-concussed. The sensitivity and specificity of eye tracking were calculated after plotting of the receiver operating characteristic curve and calculation of the AUC (area under curve).ResultsWhen concussion is defined by SCAT3 subsets, the sensitivity and specificity of an eye tracking algorithm was 80.4 and 66.1%, The AUC was 0.718. The misclassification rate (n = 282) was 31.6%.ConclusionA pre-specified algorithm and cutoff for diagnosis of concussion vs. non-concussion has a sensitivity and specificity that is useful as a baseline-free aid in diagnosis of concussion. Eye tracking has potential to serve as an objective “gold-standard” for detection of neurophysiologic disruption due to brain injury.

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